I want to do comparison of classification techniques but now i only have SVM as one of the techniques. Can anyone suggest another technique other than CRF and MNB? Thank you


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For this, you may consult paperswithcode in the NER category, where you will see that in most datasets multiple top performers are BERT-based solutions.

This approach normally consists of taking a pre-trained neural network model that is some variation of the BERT architecture (Transformer encoder trained on a masked language model loss) and fine-tuning it on your data.

You can have a look at the Huggingface Transformers python library, which is well suited for this.


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